Mac mini (2024)
Geekbench AI Score
4980
Single Precision Score
38305
Half Precision Score
54467
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Ravageeject84 |
| Upload Date | March 27 2026 01:51 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2012
374.2 IPS |
|
|
Image Classification (HP)
|
100% |
16736
3.11 KIPS |
|
|
Image Classification (Q)
|
97% |
25996
4.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2059
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21934
355.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31384
508.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8535
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
123275
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
230637
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2392
189.7 IPS |
|
|
Object Detection (HP)
|
100% |
17716
1.41 KIPS |
|
|
Object Detection (Q)
|
89% |
26177
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4363
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
43268
514.1 IPS |
|
|
Face Detection (Q)
|
100% |
65706
780.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8016
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98403
758.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
164603
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
21827
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
234440
301.4 IPS |
|
|
Style Transfer (Q)
|
96% |
294817
380.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5104
188.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51875
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82605
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
6452
8.61 KIPS |
|
|
Text Classification (HP)
|
100% |
10349
13.8 KIPS |
|
|
Text Classification (Q)
|
93% |
10138
13.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
4413
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
15833
272.7 IPS |
|
|
Machine Translation (Q)
|
98% |
17472
301.9 IPS |
